Boost orchestrator for client-server architectures

• US 9,667,708 B1
• Filed: 12/30/2015
• Issued: 05/30/2017
• Est. Priority Date: 12/30/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Sidoti, Stefano, Milanese, Nicola
• Primary Examiner(s): Winder, Patrice
• Application Number:
  US14/983,868
• Time in Patent Office: 517 Days
• CPC Class Codes: G06F 9/4825 Interrupt from clock, e.g. time of day
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/091 Measuring contribution of individual network components to actual service level
• CPC Class Codes: H04L 43/103 with adaptive polling, i.e. dynamically adapting the polling rate
• CPC Class Codes: H04L 43/16 Threshold monitoring

Abstract

Embodiments are directed to a computer implemented method of defining and executing tasks in a client-server architecture. The method includes receiving, at a server, a definition of a task to be performed by a client, wherein the definition of the task includes a set of client properties relevant to the task. The method further includes repeatedly receiving, at the server, reports of the client, wherein each of the reports comprises a status of each of a plurality of client properties. The method further includes determining, at the server, a characteristic of the set of client properties based at least in part on the reports, and determining, at the server, a level of service for executing the task based at least in part on the characteristic of the set of client properties.

Claims

1. A computer implemented method of defining and executing tasks in a client-server architecture, the method comprising:

receiving, at a server, a definition of a task to be performed by a client, wherein the definition of the task includes a set of client properties relevant to the task;

repeatedly receiving, at the server, reports of the client, wherein each of the reports comprises a status of each of a plurality of client properties;

identifying ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

storing over time, at the server, multiples instances of the status of the ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

determining, at the server, a time-based characteristic of the set of client properties based at least in part on an evaluation of the stored multiple instances of the status of the ones of the plurality of client properties repeatedly received at the server, wherein the time-based characteristic represents patterns identified over time of the ones of the plurality of client properties repeatedly received at the server; and

determining, at the server, a level of service for executing the task based at least in part on the time-based characteristic of the set of client properties.

2. The computer implemented method of claim 1, wherein determining the level of service comprises determining a first level of service if a value of the time-based characteristic is above a predetermined threshold.

3. The computer implemented method of claim 2, wherein:

the first level of service comprises a boosted level of service; and

the boosted level of service comprises executing the task using task applicability information of the set of client properties that is stored at the server at a time the task is run.

4. The computer implemented method of claim 3, wherein the time-based characteristic of the set of client properties comprises an update frequency.

5. The computer implemented method of claim 1, wherein determining the level of service comprises determining a secondary level of service if a value of the time-based characteristic is below a predetermined threshold.

6. The computer implemented method of claim 5, wherein:

the secondary level of service comprises a client-centric level of service; and

the client-centric level of service comprises executing the task by confirming task applicability information of the set of client properties at a time the task is run.

7. The computer implemented method of claim 6, wherein the time-based characteristic of the set of client properties comprises a minimum update time.

8. A computer system for defining and executing tasks in a client-server architecture, the system comprising:

a server having a memory and a processor system communicatively coupled to the memory, wherein the processor system is configured to perform a method comprising;

receiving a definition of a task to be performed by a client, wherein the definition of the task includes a set of client properties relevant to the task;

repeatedly receiving reports of the client, wherein each of the reports comprises a status of each of a plurality of client properties;

identifying ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

storing over time, at the server, multiples instances of the status of the ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

determining a time-based characteristic of the set of client properties based at least in part on an evaluation of the stored multiple instances of the status of the ones of the plurality of client properties repeatedly received at the server, wherein the time-based characteristic represents patterns identified over time of the ones of the plurality of client properties repeatedly received at the server; and

determining a level of service for executing the task based at least in part on the time-based characteristic of the set of client properties.

9. The computer system of claim 8, wherein determining the level of service comprises determining a first level of service if a value of the time-based characteristic is above a predetermined threshold.

10. The computer system of claim 9, wherein:

the first level of service comprises a boosted level of service; and

the boosted level of service comprises executing the task using task applicability information of the set of client properties that is stored at the server at a time the task is run.

11. The computer system of claim 10, wherein the time-based characteristic of the set of client properties comprises an update frequency.

12. The computer system of claim 8, wherein determining the level of service comprises determining a secondary level of service if a value of the time-based characteristic is below a predetermined threshold.

13. The computer system of claim 12, wherein:

the secondary level of service comprises a client-centric level of service; and

the client-centric level of service comprises executing the task by confirming task applicability information of the set of client properties at a time the task is run.

14. The computer system of claim 13, wherein the time-based characteristic of the set of client properties comprises a minimum update time.

15. A computer program product for defining and executing tasks in a client-server architecture, the computer program product comprising:

a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable by a processor system of a server to cause the processor system to perform a method comprising;

receiving a definition of a task to be performed by a client, wherein the definition of the task includes a set of client properties relevant to the task;

repeatedly receiving reports of the client, wherein each of the reports comprises a status of each of a plurality of client properties;

identifying ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

storing over time, at the server, multiples instances of the status of the ones of the plurality of client properties repeatedly received at the server that overlap the set of client properties relevant to the task;

determining a time-based characteristic of the set of client properties based at least in part on an evaluation of the stored multiple instances of the status of the ones of the plurality of client properties repeatedly received at the server, wherein the time-based characteristic represents patterns identified over time of the ones of the plurality of client properties repeatedly received at the server the reports; and

determining a level of service for executing the task based at least in part on the time-based characteristic of the set of client properties.

16. The computer program product of claim 15, wherein determining the level of service comprises determining a first level of service if a value of the time-based characteristic is above a predetermined threshold.

17. The computer program product of claim 16, wherein:

the first level of service comprises a boosted level of service; and

the boosted level of service comprises executing the task using task applicability information of the set of client properties that is stored at the server at a time the task is run.

18. The computer program product of claim 17, wherein the time-based characteristic of the set of client properties comprises an update frequency.

19. The computer program product of claim 18, wherein determining the level of service comprises determining a secondary level of service if a value of the time-based characteristic is below a predetermined threshold.

20. The computer program product of claim 19, wherein:

the secondary level of service comprises a client-centric level of service;

the client-centric level of service comprises executing the task by confirming task applicability information of the set of client properties at a time the task is run; and

the time-based characteristic of the set of client properties comprises a minimum update time.